Program

Date9:00-10:3010:45-12:15(labs) 14:30-16:00(labs) 16:15-17:45
May 26th Genome Biology (I)
[R. Gentleman]
Genome Biology (II)
[R. Gentleman]
R Introduction
[D. Sholten]
BioConductor Introduction
[D. Sholten]
May 27th Preprocessing: processing of data files; normalization
[R. Gentleman]
Annotation
[R. Gentleman]
estrogen example: take data files and normalize
[R. Gentleman]
start exploring genomic data
[R. Gentleman]
May 28th Filtering, gene selection, analysis by design
[R. Gentleman]
Wavelets and gene selection by multiple testing
[A. Antoniadis]
free
[you]
Guided tour to the A. Modigliani exposition
social dinner follows at Cascina Caremma

[us]
May 29th Distances; Machine learning; Classification
[R. Gentleman]
Penalized logistic regression and Classification of microarray data
[A. Antoniadis]
Golub: observational study
estrogen: designed experiment 22 x 2

[R. Gentleman]
Enhanced FDR by Wavelet methods
[A. Antoniadis]
May 30th Random Forests
Boosting and Bagging

[R. Gentleman]
Dimension reduction techniques for classification
[A. Antoniadis]
Application of machine learning approach
[R. Gentleman]
Using slice inverse regression for gene classification
[A. Antoniadis]

Course Material

All the material presented by the two speakers is now available for free download. Please follow this link


Last update June 11st 2003